The three previous subsections describe principled learning rate selection strategies, but none of those are tailored so that the generalized posterior distribution achieves any specific and desirable properties. Since the learning rate's effect on the posterior is to control the spread, [1]} proposed to tune the learning rate such that posterior credible sets approximately achieve the nominal frequentist coverage probability.
